Judging the Likelihood of Future Events - Shahabuddin, Shaan
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The desirability bias explains that desirable events are judged as more likely to occur. Lench (2009) paired positive affect to a white car image and found higher likelihood ratings for the white car, supporting the desirability bias. In this study, participants (N=90) anticipated watching a valenced video (positive, negative, or neutral), viewed a series of neutral images (including a white car image), then rated the likelihood of owning a white car. The "buffer hypothesis" suggests that anticipation of a negative event (i.e., a negative video) would infuse current experiences (owning a white…mehr

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Produktbeschreibung
The desirability bias explains that desirable events are judged as more likely to occur. Lench (2009) paired positive affect to a white car image and found higher likelihood ratings for the white car, supporting the desirability bias. In this study, participants (N=90) anticipated watching a valenced video (positive, negative, or neutral), viewed a series of neutral images (including a white car image), then rated the likelihood of owning a white car. The "buffer hypothesis" suggests that anticipation of a negative event (i.e., a negative video) would infuse current experiences (owning a white car) with positive affect so that these experiences would be rated as more likely to occur, supporting the desirability bias. Although this effect was not found, significant correlations reveal a positive relationship between feelings towards white cars and likelihood of owning a white car. It is suggested that anticipation decreased congruency between these variables.
Autorenporträt
Shaan Syed Shahabuddin received his Bachelors of Science in Psychology from Texas A&M University - College Station, in 2010, he received his Masters of Arts in General Psychology from Stephen F. Austin State University in 2012, and he is currently pursuing his PhD in Leadership, Education, and Communications at Texas A&M University.